{"id":"W145314914","doi":"","title":"Réparation de poésie no 13 : Assembling","year":2002,"lang":"fr","type":"book","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Painting; Happiness; Poetry; Art; Visual arts; Art history; History; Literature; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007870455,0.0005418771,0.000392317,0.001996103,0.008614448,0.004076171,0.0008234794,0.0007655593,0.0675585],"category_scores_gemma":[0.001581741,0.0002936286,0.0004193122,0.001609753,0.003661633,0.001865713,0.002026856,0.002047054,0.0157207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008655864,"about_ca_system_score_gemma":0.01335925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3661112,"about_ca_topic_score_gemma":0.6238284,"domain_scores_codex":[0.9994859,0.00006811527,0.00001364426,0.00006725374,0.0002395178,0.0001255578],"domain_scores_gemma":[0.9993494,0.00004507961,0.00001814424,0.00006643028,0.0003832779,0.0001377222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004597192,0.0000382378,0.0009363519,0.0001812451,0.000005545173,0.0005141576,0.01433724,0.000138184,0.000902364,0.1190386,0.6845695,0.1792926],"study_design_scores_gemma":[8.079659e-7,0.000004009087,0.0005952108,0.00004030019,8.005475e-7,0.00004184184,0.0007062171,0.00001355105,0.0000758466,0.0005823753,0.9979362,0.000002907217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008176478,0.005963083,0.003745239,0.003300697,0.003961069,0.0003558834,0.0004742089,0.0004851145,0.9735382],"genre_scores_gemma":[0.02065673,0.001454231,0.002155316,0.0004069511,0.000180581,0.00007930051,0.0002747352,0.000336634,0.9744554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3661112,"threshold_uncertainty_score":0.7279605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4065997514858005,"score_gpt":0.3246369777481303,"score_spread":0.08196277373767025,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}